학술논문

2型糖尿病患者合并骨质疏松风险预测模型的范围综述 / Risk prediction model of oteoporosis in patients with type 2 diabetes:a scoping review
Document Type
Academic Journal
Source
护理学报 / Journal of Nursing. 31(1):52-57
Subject
2型糖尿病
骨质疏松
预测模型
风险预测
范围综述
type 2 diabetes
osteoporosis
prediction model
risk prediction
scoping review
Language
Chinese
ISSN
1008-9969
Abstract
目的 对 2 型糖尿病患者并发骨质疏松的风险预测模型进行范围综述,为疾病科学防治及未来临床护理工作提供借鉴.方法 系统检索中英文数据库,对纳入文献进行文献偏倚风险评估,提取 2 型糖尿病患者骨质疏松发生率、模型构建情况、模型预测因子及性能等信息,并进行风险预测模型预测因子分类.结果 共纳入 16项研究,涉及 16个模型,2型糖尿病患者骨质疏松的患病率为 14.4%~54.08%.模型效能总体较好,但模型构建的方法单一.年龄、糖尿病病程和体质指数是 2型糖尿病患者并发骨质疏松风险预测模型的重要因子.结论 临床护理人员应重视 2 型糖尿病患者并发骨质疏松的高危因素,精准选择性能良好的评估工具指导护理实践.可借助可视化手段构建预测性能好、实用性强的模型,并通过前瞻性、多中心、外部验证不断优化模型,以期达到最佳的预测效果,便于及时干预.
Objective To conduct a scoping review on risk prediction model of osteoporosis in patients with type 2 diabetes,and to provide reference for its prevention and clinical nursing.Methods The Chinese and English databases were systematically searched,and the risk of literature bias was evaluated.The incidence of osteoporosis in patients with type 2 diabetes,model construction,model predictors and performance were extracted,and the predictors of risk prediction model were classified.Results Sixteen studies were included,involving 16 models.The prevalence of osteoporosis in patients with type 2 diabetes ranged from 14.4% to 54.08%.The overall effectiveness of the model was good,but the method of model construction was single.Age,duration of diabetes and body mass index were important factors in the risk prediction model of osteoporosis in patients with type 2 diabetes.Conclusion Nursing staff should pay attention to the high risk factors of osteoporosis in patients with type 2 diabetes,and evaluation tools with good performance should be considered to guide nursing practice.A model with good performance and strong practicability can be constructed by means of visualization,and be continuously optimized through forward-looking,multi-center and external verification in order to achieve the best prediction effect and provide timely intervention for the patients.